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Volume 13
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10.3390/rs13101913
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Article

Soil Moisture Retrievals Using Multi-Temporal Sentinel-1 Data over Nagqu Region of Tibetan Plateau

by
Mengying Yang
,
Hongquan Wang
*,
Cheng Tong
,
Luyao Zhu
,
Xiaodong Deng
,
Jinsong Deng
and
Ke Wang
College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310029, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2021, 13(10), 1913; https://doi.org/10.3390/rs13101913
Submission received: 8 April 2021 / Revised: 7 May 2021 / Accepted: 11 May 2021 / Published: 13 May 2021
(This article belongs to the Special Issue Satellite Soil Moisture Estimation, Assessment, and Applications)
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Abstract

This paper presents an approach for retrieval of soil moisture in Nagqu region of Tibetan Plateau using VV-polarized Sentinel-1 SAR and MODIS optical data, by coupling the semi-empirical Oh-2004 model and the Water Cloud Model (WCM). The Oh model is first used to estimate the surface roughness parameter based on the hypothesis that the roughness is invariant among SAR acquisitions. Afterward, the vegetation water content (VWC) in the WCM is calculated from the daily MODIS NDVI data obtained by temporal interpolation. To improve the performance of the model, the parameters A, B, and α of the WCM are analyzed and optimized using randomly selected half of the sampled dataset. Then, the soil moisture is retrieved by minimizing a cost function between the simulated and measured backscattering coefficients. The comparison of the retrieved soil moisture with the ground measurements shows the determination coefficient R2 and the Root Mean Square Error (RMSE) are 0.46 and 0.08 m3/m3, respectively. These results demonstrate the capability and reliability of Sentinel-1 SAR data for estimating the soil moisture over the Tibetan Plateau.
Keywords: Sentinel-1; MODIS; soil moisture; water cloud model; Oh model Sentinel-1; MODIS; soil moisture; water cloud model; Oh model
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MDPI and ACS Style

Yang, M.; Wang, H.; Tong, C.; Zhu, L.; Deng, X.; Deng, J.; Wang, K. Soil Moisture Retrievals Using Multi-Temporal Sentinel-1 Data over Nagqu Region of Tibetan Plateau. Remote Sens. 2021, 13, 1913. https://doi.org/10.3390/rs13101913

AMA Style

Yang M, Wang H, Tong C, Zhu L, Deng X, Deng J, Wang K. Soil Moisture Retrievals Using Multi-Temporal Sentinel-1 Data over Nagqu Region of Tibetan Plateau. Remote Sensing. 2021; 13(10):1913. https://doi.org/10.3390/rs13101913

Chicago/Turabian Style

Yang, Mengying, Hongquan Wang, Cheng Tong, Luyao Zhu, Xiaodong Deng, Jinsong Deng, and Ke Wang. 2021. "Soil Moisture Retrievals Using Multi-Temporal Sentinel-1 Data over Nagqu Region of Tibetan Plateau" Remote Sensing 13, no. 10: 1913. https://doi.org/10.3390/rs13101913

APA Style

Yang, M., Wang, H., Tong, C., Zhu, L., Deng, X., Deng, J., & Wang, K. (2021). Soil Moisture Retrievals Using Multi-Temporal Sentinel-1 Data over Nagqu Region of Tibetan Plateau. Remote Sensing, 13(10), 1913. https://doi.org/10.3390/rs13101913

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